The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
The dataset generation failed because of a cast error
Error code:   DatasetGenerationCastError
Exception:    DatasetGenerationCastError
Message:      An error occurred while generating the dataset

All the data files must have the same columns, but at some point there are 2 new columns ({' x4', ' x3'})

This happened while the csv dataset builder was generating data using

hf://datasets/williamgilpin/dysts/coarse/ArnoldWeb_coarse.csv (at revision 5d305abb3c9010e36ca6a3e6c967b72932f6cca9)

Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)
Traceback:    Traceback (most recent call last):
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1870, in _prepare_split_single
                  writer.write_table(table)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_writer.py", line 622, in write_table
                  pa_table = table_cast(pa_table, self._schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2292, in table_cast
                  return cast_table_to_schema(table, schema)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/table.py", line 2240, in cast_table_to_schema
                  raise CastError(
              datasets.table.CastError: Couldn't cast
              time: double
              x0: double
               x1: double
               x2: double
               x3: double
               x4: double
              -- schema metadata --
              pandas: '{"index_columns": [{"kind": "range", "name": null, "start": 0, "' + 905
              to
              {'time': Value(dtype='float64', id=None), 'x0': Value(dtype='float64', id=None), ' x1': Value(dtype='float64', id=None), ' x2': Value(dtype='float64', id=None)}
              because column names don't match
              
              During handling of the above exception, another exception occurred:
              
              Traceback (most recent call last):
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1417, in compute_config_parquet_and_info_response
                  parquet_operations = convert_to_parquet(builder)
                File "/src/services/worker/src/worker/job_runners/config/parquet_and_info.py", line 1049, in convert_to_parquet
                  builder.download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 924, in download_and_prepare
                  self._download_and_prepare(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1000, in _download_and_prepare
                  self._prepare_split(split_generator, **prepare_split_kwargs)
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1741, in _prepare_split
                  for job_id, done, content in self._prepare_split_single(
                File "/src/services/worker/.venv/lib/python3.9/site-packages/datasets/builder.py", line 1872, in _prepare_split_single
                  raise DatasetGenerationCastError.from_cast_error(
              datasets.exceptions.DatasetGenerationCastError: An error occurred while generating the dataset
              
              All the data files must have the same columns, but at some point there are 2 new columns ({' x4', ' x3'})
              
              This happened while the csv dataset builder was generating data using
              
              hf://datasets/williamgilpin/dysts/coarse/ArnoldWeb_coarse.csv (at revision 5d305abb3c9010e36ca6a3e6c967b72932f6cca9)
              
              Please either edit the data files to have matching columns, or separate them into different configurations (see docs at https://hf.co/docs/hub/datasets-manual-configuration#multiple-configurations)

Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.

time
float64
x0
float64
x1
float64
x2
float64
0
-0.784502
-0.628877
-0.176203
1
-0.708158
-0.681436
-0.189307
2
-0.628996
-0.725622
-0.201585
3
-0.547893
-0.761401
-0.213058
4
-0.465703
-0.788828
-0.223747
5
-0.383247
-0.808037
-0.233671
6
-0.301308
-0.819242
-0.242849
7
-0.220621
-0.822723
-0.251298
8
-0.141869
-0.818824
-0.259038
9
-0.065683
-0.807942
-0.26609
10
0.007368
-0.790522
-0.272476
11
0.076775
-0.767048
-0.278218
12
0.14209
-0.738035
-0.28334
13
0.20293
-0.704025
-0.287866
14
0.258976
-0.665576
-0.291821
15
0.309968
-0.623258
-0.295228
16
0.355711
-0.577646
-0.298109
17
0.396067
-0.529313
-0.300486
18
0.430956
-0.478826
-0.302379
19
0.460351
-0.426742
-0.303804
20
0.484279
-0.373599
-0.304778
21
0.502812
-0.319917
-0.305315
22
0.516068
-0.266191
-0.305428
23
0.524204
-0.212892
-0.305127
24
0.527416
-0.160458
-0.304423
25
0.525931
-0.109296
-0.303324
26
0.520005
-0.059781
-0.301839
27
0.509919
-0.012251
-0.299974
28
0.495973
0.03299
-0.297738
29
0.478486
0.075675
-0.295138
30
0.45779
0.115575
-0.29218
31
0.434223
0.152494
-0.288872
32
0.408132
0.186276
-0.285219
33
0.379866
0.216796
-0.281229
34
0.349772
0.243967
-0.276908
35
0.318193
0.267732
-0.272262
36
0.285468
0.288065
-0.267296
37
0.251926
0.304973
-0.262014
38
0.217885
0.318486
-0.256422
39
0.183649
0.328665
-0.250522
40
0.14951
0.335591
-0.244318
41
0.115741
0.339369
-0.237812
42
0.082599
0.340123
-0.231006
43
0.050323
0.337995
-0.2239
44
0.019131
0.333142
-0.216495
45
-0.010778
0.325735
-0.208789
46
-0.039225
0.315956
-0.200783
47
-0.066052
0.303997
-0.192475
48
-0.091122
0.290055
-0.183862
49
-0.114319
0.274334
-0.174943
50
-0.135545
0.257042
-0.165714
51
-0.154726
0.238387
-0.156173
52
-0.171802
0.218578
-0.146315
53
-0.186737
0.197821
-0.136138
54
-0.199511
0.17632
-0.125636
55
-0.210119
0.154276
-0.114806
56
-0.218575
0.131882
-0.103643
57
-0.224907
0.109325
-0.092141
58
-0.229159
0.086784
-0.080295
59
-0.231384
0.064431
-0.0681
60
-0.231652
0.042427
-0.05555
61
-0.230041
0.020923
-0.042638
62
-0.226639
0.00006
-0.029358
63
-0.221543
-0.020032
-0.015702
64
-0.214858
-0.039234
-0.001665
65
-0.206693
-0.057438
0.012762
66
-0.197167
-0.07455
0.027585
67
-0.186398
-0.090484
0.042812
68
-0.174511
-0.10517
0.058452
69
-0.161632
-0.118544
0.07451
70
-0.147887
-0.130558
0.090996
71
-0.133405
-0.141173
0.107916
72
-0.118313
-0.150361
0.125279
73
-0.102736
-0.158103
0.143091
74
-0.0868
-0.164392
0.16136
75
-0.070625
-0.169229
0.180092
76
-0.054331
-0.172625
0.199294
77
-0.038033
-0.174597
0.218972
78
-0.021841
-0.175174
0.239132
79
-0.005863
-0.174388
0.259779
80
0.009802
-0.172281
0.280917
81
0.025056
-0.168901
0.302551
82
0.039808
-0.164299
0.324682
83
0.053974
-0.158534
0.347313
84
0.067474
-0.151668
0.370444
85
0.080235
-0.143769
0.394076
86
0.092189
-0.134907
0.418206
87
0.103274
-0.125155
0.442832
88
0.113436
-0.114589
0.467948
89
0.122625
-0.103289
0.493548
90
0.130797
-0.091334
0.519624
91
0.137914
-0.078807
0.546166
92
0.143945
-0.06579
0.57316
93
0.148863
-0.052367
0.600593
94
0.152646
-0.038623
0.628446
95
0.15528
-0.024643
0.6567
96
0.156753
-0.01051
0.685334
97
0.157061
0.00369
0.71432
98
0.156203
0.017874
0.743633
99
0.154183
0.031956
0.773242
End of preview.